DocumentCode
3252627
Title
Error correcting neural networks for channels with Gaussian noise
Author
Ortuno, I. ; Ortuno, M. ; Delgado, J.A.
Author_Institution
Dept. d´´Inf., Univ. Autonoma de Barcelona, Spain
Volume
4
fYear
1992
fDate
7-11 Jun 1992
Firstpage
295
Abstract
The main features of error correcting codes and standard decoding techniques are reviewed. Feedforward neural networks for soft-decision decoding of block codes in channels with additive white Gaussian noise are presented. When the noise is not white, the authors deduce the optimal set of weights for the connections of the network. These weights are also approximately obtained by an error backpropagation algorithm. A practical realization for a BCH (7,4) code is presented, and exhaustive numerical simulations were performed
Keywords
BCH codes; error correction codes; feedforward neural nets; random noise; BCH codes; Gaussian noise; block codes; decoding techniques; error backpropagation algorithm; error correcting codes; numerical simulations; soft-decision decoding; Additive white noise; Block codes; Code standards; Decoding; Error correction; Error correction codes; Feedforward neural networks; Gaussian noise; Neural networks; White noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1992. IJCNN., International Joint Conference on
Conference_Location
Baltimore, MD
Print_ISBN
0-7803-0559-0
Type
conf
DOI
10.1109/IJCNN.1992.227326
Filename
227326
Link To Document